Connection
Christopher Wardell to Gene Expression Regulation, Neoplastic
This is a "connection" page, showing publications Christopher Wardell has written about Gene Expression Regulation, Neoplastic.
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Connection Strength |
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0.532 |
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Walker BA, Mavrommatis K, Wardell CP, Ashby TC, Bauer M, Davies FE, Rosenthal A, Wang H, Qu P, Hoering A, Samur M, Towfic F, Ortiz M, Flynt E, Yu Z, Yang Z, Rozelle D, Obenauer J, Trotter M, Auclair D, Keats J, Bolli N, Fulciniti M, Szalat R, Moreau P, Durie B, Stewart AK, Goldschmidt H, Raab MS, Einsele H, Sonneveld P, San Miguel J, Lonial S, Jackson GH, Anderson KC, Avet-Loiseau H, Munshi N, Thakurta A, Morgan GJ. Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma. Blood. 2018 08 09; 132(6):587-597.
Score: 0.116
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Walker BA, Wardell CP, Murison A, Boyle EM, Begum DB, Dahir NM, Proszek PZ, Melchor L, Pawlyn C, Kaiser MF, Johnson DC, Qiang YW, Jones JR, Cairns DA, Gregory WM, Owen RG, Cook G, Drayson MT, Jackson GH, Davies FE, Morgan GJ. APOBEC family mutational signatures are associated with poor prognosis translocations in multiple myeloma. Nat Commun. 2015 Apr 23; 6:6997.
Score: 0.093
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Pawlyn C, Melchor L, Murison A, Wardell CP, Brioli A, Boyle EM, Kaiser MF, Walker BA, Begum DB, Dahir NB, Proszek P, Gregory WM, Drayson MT, Jackson GH, Ross FM, Davies FE, Morgan GJ. Coexistent hyperdiploidy does not abrogate poor prognosis in myeloma with adverse cytogenetics and may precede IGH translocations. Blood. 2015 Jan 29; 125(5):831-40.
Score: 0.091
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Smiech M, Leszczynski P, Wardell C, Poznanski P, Pierzchala M, Taniguchi H. Oncogenic Mutation BRAF V600E Changes Phenotypic Behavior of THLE-2 Liver Cells through Alteration of Gene Expression. Int J Mol Sci. 2022 Jan 28; 23(3).
Score: 0.037
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Reed MR, Lyle AG, De Loose A, Maddukuri L, Learned K, Beale HC, Kephart ET, Cheney A, van den Bout A, Lee MP, Hundley KN, Smith AM, DesRochers TM, Vibat CRT, Gokden M, Salama S, Wardell CP, Eoff RL, Vaske OM, Rodriguez A. A Functional Precision Medicine Pipeline Combines Comparative Transcriptomics and Tumor Organoid Modeling to Identify Bespoke Treatment Strategies for Glioblastoma. Cells. 2021 12 02; 10(12).
Score: 0.037
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Boyle EM, Deshpande S, Tytarenko R, Ashby C, Wang Y, Bauer MA, Johnson SK, Wardell CP, Thanendrarajan S, Zangari M, Facon T, Dumontet C, Barlogie B, Arbini A, Rustad EH, Maura F, Landgren O, Zhan F, van Rhee F, Schinke C, Davies FE, Morgan GJ, Walker BA. The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma. Nat Commun. 2021 01 12; 12(1):293.
Score: 0.035
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Smiech M, Leszczynski P, Kono H, Wardell C, Taniguchi H. Emerging BRAF Mutations in Cancer Progression and Their Possible Effects on Transcriptional Networks. Genes (Basel). 2020 11 12; 11(11).
Score: 0.034
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Jones JR, Weinhold N, Ashby C, Walker BA, Wardell C, Pawlyn C, Rasche L, Melchor L, Cairns DA, Gregory WM, Johnson D, Begum DB, Ellis S, Sherborne AL, Cook G, Kaiser MF, Drayson MT, Owen RG, Jackson GH, Davies FE, Greaves M, Morgan GJ. Clonal evolution in myeloma: the impact of maintenance lenalidomide and depth of response on the genetics and sub-clonal structure of relapsed disease in uniformly treated newly diagnosed patients. Haematologica. 2019 07; 104(7):1440-1450.
Score: 0.030
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Wu P, Agnelli L, Walker BA, Todoerti K, Lionetti M, Johnson DC, Kaiser M, Mirabella F, Wardell C, Gregory WM, Davies FE, Brewer D, Neri A, Morgan GJ. Improved risk stratification in myeloma using a microRNA-based classifier. Br J Haematol. 2013 Aug; 162(3):348-59.
Score: 0.020
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Kaiser MF, Johnson DC, Wu P, Walker BA, Brioli A, Mirabella F, Wardell CP, Melchor L, Davies FE, Morgan GJ. Global methylation analysis identifies prognostically important epigenetically inactivated tumor suppressor genes in multiple myeloma. Blood. 2013 Jul 11; 122(2):219-26.
Score: 0.020
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Boyd KD, Walker BA, Wardell CP, Ross FM, Gregory WM, Davies FE, Morgan GJ. High expression levels of the mammalian target of rapamycin inhibitor DEPTOR are predictive of response to thalidomide in myeloma. Leuk Lymphoma. 2010 Nov; 51(11):2126-9.
Score: 0.017
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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